





import argparse
from collections import defaultdict

def     a_       (					lowerCAmelCase_ :     Optional[int],      lowerCAmelCase_ :     Optional[int],      lowerCAmelCase_ :     str,      lowerCAmelCase_ :     int,      lowerCAmelCase_ :     List[str]      ):
   __lowerCAmelCase				      =      F"""{file}_{class_name}_{test_name}"""
   done_test[_id] += 1

   with open(lowerCAmelCase_,      'r'      ) as f:
      __lowerCAmelCase				      =      f.readlines()

   __lowerCAmelCase				      =      F"""class {class_name}("""
   __lowerCAmelCase				      =      F"""{4 * " "}def {test_name}("""
   __lowerCAmelCase				      =      F"""{8 * " "}{correct_line.split()[0]}"""
   __lowerCAmelCase				      =      F"""{16 * " "}{correct_line.split()[0]}"""
   __lowerCAmelCase				      =      False
   __lowerCAmelCase				      =      False
   __lowerCAmelCase				      =      False
   __lowerCAmelCase				      =      False
   __lowerCAmelCase				      =      0
   __lowerCAmelCase				      =      0

   __lowerCAmelCase				      =      []
   for line in lines:
      if line.startswith(lowerCAmelCase_      ):
         __lowerCAmelCase				      =      True
      elif in_class and line.startswith(lowerCAmelCase_      ):
         __lowerCAmelCase				      =      True
      elif in_class and in_func and (line.startswith(lowerCAmelCase_      ) or line.startswith(lowerCAmelCase_      )):
         __lowerCAmelCase				      =      len(line.split(correct_line.split()[0]      )[0]      )
         count += 1

         if count == done_test[_id]:
            __lowerCAmelCase				      =      True

      if in_class and in_func and in_line:
         if ")" not in line:
            continue
         else:
            __lowerCAmelCase				      =      True

      if in_class and in_func and in_line and insert_line:
         new_lines.append(F"""{spaces * " "}{correct_line}"""      )
         __lowerCAmelCase				      =      __lowerCAmelCase				      =      __lowerCAmelCase				      =      __lowerCAmelCase				      =      False
      else:
         new_lines.append(lowerCAmelCase_      )

   with open(lowerCAmelCase_,      'w'      ) as f:
      for line in new_lines:
         f.write(lowerCAmelCase_      )

def     a_       (					lowerCAmelCase_ :     Tuple,      lowerCAmelCase_ :     Any=None      ):
   if fail is not None:
      with open(lowerCAmelCase_,      'r'      ) as f:
         __lowerCAmelCase				      =      {l.strip() for l in f.readlines()}
   else:
      __lowerCAmelCase				      =      None

   with open(lowerCAmelCase_,      'r'      ) as f:
      __lowerCAmelCase				      =      f.readlines()

   __lowerCAmelCase				      =      defaultdict(lowerCAmelCase_      )
   for line in correct_lines:
      __lowerCAmelCase      ,      __lowerCAmelCase      ,      __lowerCAmelCase      ,      __lowerCAmelCase				      =      line.split(';'      )
      if test_failures is None or "::".join([file, class_name, test_name]      ) in test_failures:
         overwrite_file(lowerCAmelCase_,      lowerCAmelCase_,      lowerCAmelCase_,      lowerCAmelCase_,      lowerCAmelCase_      )


if __name__ == "__main__":
     _snake_case    :       List[str]		       =    argparse.ArgumentParser()
     parser.add_argument('--correct_filename', help='filename of tests with expected result')
     parser.add_argument('--fail_filename', help='filename of test failures', type=str, default=None)
     _snake_case    :       str		       =    parser.parse_args()

     main(args.correct_filename, args.fail_filename)







"""simple docstring"""




import os
from collections import namedtuple

import pytest

from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict


lowerCAmelCase				:     Dict					=				namedtuple(
    """_TestCommandArgs""",
    [
        """dataset""",
        """name""",
        """cache_dir""",
        """data_dir""",
        """all_configs""",
        """save_infos""",
        """ignore_verifications""",
        """force_redownload""",
        """clear_cache""",
    ],
    defaults=[None, None, None, False, False, False, False, False],
)



def        a__					(							snake_case__			,					snake_case__							)		->   Optional[Any]:
			return (abs(source - target							) / target) < 0.01



@pytest.mark.integration
def        a__					(							snake_case__							)		->   int:
			lowerCamelCase      =   _TestCommandArgs(dataset=snake_case__			,					all_configs=snake_case__			,					save_infos=snake_case__							)
			lowerCamelCase      =   TestCommand(*snake_case__							)
			test_command.run()
			lowerCamelCase      =   os.path.join(snake_case__			,					"""README.md"""							)
			assert os.path.exists(snake_case__							)
			lowerCamelCase      =   DatasetInfosDict.from_directory(snake_case__							)
			lowerCamelCase      =   DatasetInfosDict(
			    {
			        """default""": DatasetInfo(
			            features=Features(
			                {
			                    """tokens""": Sequence(Value("""string"""							)							),
			                    """ner_tags""": Sequence(
			                        ClassLabel(names=["""O""", """B-PER""", """I-PER""", """B-ORG""", """I-ORG""", """B-LOC""", """I-LOC"""]							)							),
			                    """langs""": Sequence(Value("""string"""							)							),
			                    """spans""": Sequence(Value("""string"""							)							),
			                }							)			,					splits=[
			                {
			                    """name""": """train""",
			                    """num_bytes""": 2_35_15_63,
			                    """num_examples""": 1_00_00,
			                },
			                {
			                    """name""": """validation""",
			                    """num_bytes""": 23_84_18,
			                    """num_examples""": 10_00,
			                },
			            ]			,					download_size=3_94_06_80			,					dataset_size=2_58_99_81			,					)
			    }							)
			assert dataset_infos.keys() == expected_dataset_infos.keys()
			for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
						lowerCamelCase ,  lowerCamelCase      =   getattr(dataset_infos["""default"""]			,					snake_case__							), getattr(expected_dataset_infos["""default"""]			,					snake_case__							)
						if key == "num_bytes":
									assert is_apercent_close(snake_case__			,					snake_case__							)
						elif key == "splits":
									assert list(snake_case__							) == list(snake_case__							)
									for split in result:
												assert result[split].name == expected[split].name
												assert result[split].num_examples == expected[split].num_examples
												assert is_apercent_close(result[split].num_bytes			,					expected[split].num_bytes							)
						else:
									result == expected



